ArticleBioinformatics (Oxford, England)2017
caspo: a toolbox for automated reasoning on the response of logical signaling networks families.
Article in Bioinformatics (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- From prior knowledge to data-informed models: a review of Boolean network inference.Briefings in bioinformatics · 2026Review
- Deep exploration of logical models of cell differentiation in human preimplantation embryos.NPJ systems biology and applications · 2025Article
- Boolean modelling as a logic-based dynamic approach in systems medicine.Computational and structural biotechnology journal · 2022Review
- Discriminate the response of Acute Myeloid Leukemia patients to treatment by using proteomics data and Answer Set Programming.BMC bioinformatics · 2018Article
- Evaluating Uncertainty in Signaling Networks Using Logical Modeling.Frontiers in physiology · 2018Article
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Authors and funding
4 authors.
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Abstract
Summary: We introduce the caspo toolbox, a python package implementing a workflow for reasoning on logical networks families. Our software allows researchers to (i) a family of logical networks derived from a given topology and explaining the experimental response to various perturbations; (ii) all logical networks in a given family by their input-output behaviors; (iii) the response of the system to every possible perturbation based on the ensemble of predictions; (iv) new experimental perturbations to discriminate among a family of logical networks; and (v) a family of logical networks by finding all interventions strategies forcing a set of targets into a desired steady state. Availability and Implementation: caspo is open-source software distributed under the GPLv3 license. Source code is publicly hosted at http://github.com/bioasp/caspo . Contact: anne.siegel@irisa.fr.
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